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Miramond Benoît's HomePage

Miramond Benoît,
LEAT, UMR 7248
Campus SophiaTech - Bâtiment Forum
930 route des Colles
06903 Sophia Antipolis
Tel: (+33)

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Research on Embodied Computing and Neuromorphic architectures
I am working on smart hardware structures for more adaptive computing in the context of multimodal integration on autonomous systems, IoT and mobile robotics. That approach is called Embodied Computing and our systems are currently prototyped onto digital electronics and FPGA devices. The proposed neuromorphic architectures uses the following properties:

Neuro-computing: Neural maps for self-organization into massively parallel architectures.
  • ANR PRCI SOMA Project from 2018 to 2021
  • NeuComp Project from IDEX UCA Jedi: 2017-2018

  • Embodied computing: the dynamic organization of the system is directly dependent of the richness of the environment captured by the system's sensors.
  • ANR PRCI SOMA Project from 2018 to 2021
  • ARTEFACT Project funded by EUR DS4H from 2018 to 2021

  • Real-time computing: We are developing hardware and real-time dataflow IPs for embedded systems.
  • CIAR Project funded by IRT St Exupery from 2018 to 2021

  • Reconfiguration of the hardware structure: Reconfiguration is considered as part of the computing process.
  • ANR PRCI SOMA Project from 2018 to 2021

  • Short Bio
    2019-present Head of eBRAIN research group embedded and Bio-InspiRed Artificial Intelligence and Neural networks
    2015-present Full Professor
    research in LEAT Lab - Université Côte d'Azur / UMR 7248 CNRS
    teaching digital electronics in Polytech Nice Sophia Antipolis
    2005-2015 Maitre-de-Conferences (associate professor)
    Computer Sciences Department (UCP), research in ETIS, ENSEA - University of Cergy-Pontoise.
    2004-2005 postdoctoral research fellow at INRIA Rocquencourt, AOSTE Team (Y. Sorel)
    2003-2004 Assistant professor fellow at UEVE.
    2000-2003 PhD degree in Computer Sciences, University of Evry Val d'Essonne (UEVE).

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    Current PhD Students

    Former PhD Students

    Main Collaborations